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2303.01052
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Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
2 March 2023
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
CML
AAML
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Papers citing
"Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression"
15 / 15 papers shown
Title
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Lilin Zhang
Chengpei Wu
Ning Yang
39
0
0
14 Mar 2025
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference
Wenhao Shen
Mingliang Zhou
Yu Chen
Xuekai Wei
Jun Luo
Huayan Pu
Weijia Jia
CML
89
0
0
22 Dec 2024
Sustainable Self-evolution Adversarial Training
Wenxuan Wang
Chenglei Wang
Huihui Qi
Menghao Ye
Xuelin Qian
Peng Wang
Yanning Zhang
AAML
71
0
0
03 Dec 2024
Intriguing Properties of Large Language and Vision Models
Young-Jun Lee
ByungSoo Ko
Han-Gyu Kim
Yechan Hwang
Ho-Jin Choi
LRM
VLM
43
0
0
07 Oct 2024
Phantom of Latent for Large Language and Vision Models
Byung-Kwan Lee
Sangyun Chung
Chae Won Kim
Beomchan Park
Yong Man Ro
VLM
LRM
47
6
0
23 Sep 2024
TroL: Traversal of Layers for Large Language and Vision Models
Byung-Kwan Lee
Sangyun Chung
Chae Won Kim
Beomchan Park
Yong Man Ro
37
6
0
18 Jun 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Byung-Kwan Lee
Chae Won Kim
Beomchan Park
Yonghyun Ro
MLLM
LRM
41
18
0
24 May 2024
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment
Lei Wang
Desen Yuan
AAML
OOD
33
1
0
30 Apr 2024
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Byung-Kwan Lee
Beomchan Park
Chae Won Kim
Yonghyun Ro
MLLM
VLM
48
20
0
12 Mar 2024
CoLLaVO: Crayon Large Language and Vision mOdel
Byung-Kwan Lee
Beomchan Park
Chae Won Kim
Yonghyun Ro
VLM
MLLM
35
16
0
17 Feb 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
Chao-Jung Liu
Boxi Chen
Wei Shao
Chris Zhang
Kelvin Wong
Yi Zhang
31
3
0
22 Jan 2024
Causal Unsupervised Semantic Segmentation
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
33
18
0
11 Oct 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning
Byung-Kwan Lee
Junho Kim
Yonghyun Ro
AAML
21
9
0
14 Jul 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
Hong Joo Lee
Yonghyun Ro
AAML
28
3
0
27 Jun 2023
Discovering and Explaining the Representation Bottleneck of DNNs
Huiqi Deng
Qihan Ren
Hao Zhang
Quanshi Zhang
39
59
0
11 Nov 2021
1